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Poster
Wed 12:00 Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Robert Peharz · Steven Lang · Antonio Vergari · Karl Stelzner · Alejandro Molina · Martin Trapp · Guy Van den Broeck · Kristian Kersting · Zoubin Ghahramani
Poster
Tue 7:00 Amortized Population Gibbs Samplers with Neural Sufficient Statistics
Hao Wu · Heiko Zimmermann · Eli Sennesh · Tuan Anh Le · Jan-Willem van de Meent
Poster
Thu 6:00 How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
Chris Finlay · Joern-Henrik Jacobsen · Levon Nurbekyan · Adam Oberman
Poster
Thu 6:00 Sequence Generation with Mixed Representations
Lijun Wu · Shufang Xie · Yingce Xia · Yang Fan · Jian-Huang Lai · Tao Qin · Tie-Yan Liu
Poster
Tue 7:00 Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
Will Grathwohl · Kuan-Chieh Wang · Joern-Henrik Jacobsen · David Duvenaud · Richard Zemel
Poster
Wed 8:00 Adversarial Mutual Information for Text Generation
Boyuan Pan · Yazheng Yang · Kaizhao Liang · Bhavya Kailkhura · Zhongming Jin · Xian-Sheng Hua · Deng Cai · Bo Li
Poster
Wed 11:00 Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Markos Georgopoulos · Grigorios Chrysos · Maja Pantic · Yannis Panagakis
Poster
Wed 5:00 Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
Ruixiang ZHANG · Masanori Koyama · Katsuhiko Ishiguro
Poster
Thu 7:00 Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion
Nghia Hoang · Thanh Lam · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Thu 7:00 Variational Inference for Sequential Data with Future Likelihood Estimates
Geon-Hyeong Kim · Youngsoo Jang · Hongseok Yang · Kee-Eung Kim
Poster
Tue 10:00 Learning To Stop While Learning To Predict
Xinshi Chen · Hanjun Dai · Yu Li · Xin Gao · Le Song
Poster
Tue 15:00 Unsupervised Speech Decomposition via Triple Information Bottleneck
Kaizhi Qian · Yang Zhang · Shiyu Chang · Mark Hasegawa-Johnson · David Cox